class_docstr: Class for the Fisher information metric on geometric distributions.
  
  References
  ----------
  .. [AM1981] Atkinson, C., & Mitchell, A. F. (1981). Rao's distance measure.
      Sankhyā: The Indian Journal of Statistics, Series A, 345-365.
docstr: Solve geodesic boundary problem.
  
  Compute the parameterized function for the geodesic starting at
  initial_point and ending at end_point.
  
  Parameters
  ----------
  initial_point : array-like, shape=[..., 1]
      Initial point.
  end_point : array-like, shape=[..., 1]
      End point.
  
  Returns
  -------
  path : function
      Parameterized function for the geodesic curve starting at
      initial_point and ending at end_point.
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code: def _geodesic_bvp(self, initial_point, end_point):
      """Solve geodesic boundary problem.
  
      Compute the parameterized function for the geodesic starting at
      initial_point and ending at end_point.
  
      Parameters
      ----------
      initial_point : array-like, shape=[..., 1]
          Initial point.
      end_point : array-like, shape=[..., 1]
          End point.
  
      Returns
      -------
      path : function
          Parameterized function for the geodesic curve starting at
          initial_point and ending at end_point.
      """
      initial_phase = gs.arctanh(gs.sqrt(1 - initial_point))
      frequency = gs.arctanh(gs.sqrt(1 - end_point)) - initial_phase
      return lambda t: self._geodesic_path(t, frequency, initial_phase)
  
imports: from scipy.stats import geom
  import geomstats.backend
  from geomstats.geometry.base import VectorSpaceOpenSet
  from geomstats.geometry.euclidean import Euclidean
  from geomstats.geometry.riemannian_metric import RiemannianMetric
  from geomstats.information_geometry.base import InformationManifoldMixin, ScipyUnivariateRandomVariable
label_desc: Use image node_id 5 for calling the GeometricMetric obj's underlying member method code with example usage: obj._geodesic_bvp(initial_point, end_point) and returns: function